Lectures:
Course
Contents
Introduction to Parallel and Distributed Processing.
Organization-Classification of parallel and distributed processing systems.
Shared memory systems-distributed memory systems.
Speedup, efficiency, scalability.
Processing in array processors, pipeline machines, multiprocessors, dataflow machines, reduction machines, etc.
Multiprocessing in transputer systems.
Cluster Computing. Grid Computing.
Multiprocessing in Large Scale Systems. Real time processing systems.
Algorithms for task assignment in parallel and distributed systems.
Software for parallel and distributed processing. Parallel and distributed processing applications.
Supporting resources
Evolution of systems for parallel and distribution processing
Bibliography
Tools
Relevant Pages
Next, you can find some pages with content relevant with the subject: